Data Analyst

The School of Graduate Studies (SGS) promotes University-wide inclusive excellence in graduate education, research and professional training to ensure high standards across the various academic divisions, as well as supporting postdoctoral fellows. SGS defines and administers University-wide regulations for graduate education. We share responsibility for graduate education with graduate units and divisions and operate through a system of collegial governance, consultation, and decanal leadership.


SGS also provides expertise and advice; reviews the design and delivery of programs; develops performance standards; supports access, equitable inclusion, fairness, and ethical conduct in graduate education; organizes services and financial assistance to graduate students; encourages a close and positive relationship between research and graduate instruction and represents the cause of graduate education at the University of Toronto and in the broader academic and general community.


More information about the School of Graduate Studies is found at: http://www.sgs.utoronto.ca/Pages/default.aspx


Description:


Reporting to the Assistant Dean, the Data Analyst plays a pivotal role in leading data collection, analysis, and reporting initiatives within the Office of the Dean, Graduate Studies, and Vice-Provost, Graduate Research and Education (OVPGRE). This position supports strategic decision-making by senior administrators through the management of graduate student data, contributing to the development of policies and enhancing data transparency across the institution.


The Data Analyst will collaborate with teams from various units/divisions on graduate data projects, ensuring the accurate collection and integration of data. Key responsibilities include determining methodologies for data collection, executing queries, managing databases, resolving data integrity issues, and summarizing complex statistical information. The role also involves developing data visualizations, assisting in report creation, and providing administrative support for special projects.


As this role continues to evolve, the Data Analyst must demonstrate adaptability to shifting priorities and a proactive, collaborative approach within a dynamic, fast-paced environment.

Qualifications:


Education:


University Bachelor’s degree or equivalent.


Experience:


At least five (5) years of related experience; Experience using data visualization software (e.g. Tableau); Experience conducting both qualitative and quantitative research, including completing systematic literature reviews and summaries, web-based surveys, interviews, and other research techniques; Experience analyzing data from multiple sources and creating polished written, descriptive/statistical, and visual reports of results; Project management experience.


Skills:


Strong technical skills: Expertise in word processing, relational databases, spreadsheet applications (e.g. Excel), statistical packages (e.g. SPSS, SAS), presentation software (e.g. PowerPoint) and data visualization software (e.g Tableau); Familiarity with institutional data and central systems. Familiarity with database querying tools, such as SQL, and programming languages; Ability to carry out a variety of descriptive and inferential statistical analysis including regression analysis and other techniques; Aptitude for numerate work and statistics, and analytical ability.